Overview

Dataset statistics

Number of variables19
Number of observations2414
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory360.7 KiB
Average record size in memory153.0 B

Variable types

DateTime1
TimeSeries15
Boolean1
Numeric2

Timeseries statistics

Number of series15
Time series length2414
Starting point2010-01-26 00:00:00
Ending point2019-08-30 00:00:00
Period1 day, 10 hours and 50 minutes
2026-02-06T03:49:08.056122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:08.463523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

repaired? has constant value "False"Constant
AD is highly overall correlated with EMA and 7 other fieldsHigh correlation
ATR is highly overall correlated with NATR and 2 other fieldsHigh correlation
CMO is highly overall correlated with ROC and 1 other fieldsHigh correlation
EMA is highly overall correlated with AD and 6 other fieldsHigh correlation
KAMA is highly overall correlated with AD and 6 other fieldsHigh correlation
MA is highly overall correlated with AD and 6 other fieldsHigh correlation
MidPrice is highly overall correlated with AD and 6 other fieldsHigh correlation
NATR is highly overall correlated with ATR and 1 other fieldsHigh correlation
OBV is highly overall correlated with AD and 1 other fieldsHigh correlation
ROC is highly overall correlated with CMO and 1 other fieldsHigh correlation
TRANGE is highly overall correlated with ATR and 1 other fieldsHigh correlation
TSF is highly overall correlated with AD and 6 other fieldsHigh correlation
WILLR is highly overall correlated with CMO and 1 other fieldsHigh correlation
WMA is highly overall correlated with AD and 6 other fieldsHigh correlation
close is highly overall correlated with AD and 6 other fieldsHigh correlation
close is non stationaryNon stationary
MA is non stationaryNon stationary
EMA is non stationaryNon stationary
KAMA is non stationaryNon stationary
WMA is non stationaryNon stationary
MidPrice is non stationaryNon stationary
AD is non stationaryNon stationary
OBV is non stationaryNon stationary
NATR is non stationaryNon stationary
ATR is non stationaryNon stationary
TSF is non stationaryNon stationary
close is seasonalSeasonal
MA is seasonalSeasonal
EMA is seasonalSeasonal
KAMA is seasonalSeasonal
WMA is seasonalSeasonal
MidPrice is seasonalSeasonal
AD is seasonalSeasonal
OBV is seasonalSeasonal
NATR is seasonalSeasonal
ATR is seasonalSeasonal
Date has unique valuesUnique
EMA has unique valuesUnique
KAMA has unique valuesUnique
WMA has unique valuesUnique
NATR has unique valuesUnique
ATR has unique valuesUnique
TSF has unique valuesUnique
BOP has 258 (10.7%) zerosZeros
WILLR has 43 (1.8%) zerosZeros

Reproduction

Analysis started2026-02-06 03:48:37.669117
Analysis finished2026-02-06 03:49:07.502645
Duration29.83 seconds
Software versionydata-profiling vv4.18.1
Download configurationconfig.json

Variables

Date
Date

Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size37.7 KiB
Minimum2010-01-26 00:00:00
Maximum2019-08-30 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2026-02-06T03:49:08.715202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:08.835296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

close
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct1858
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1343.3411
Minimum1050.8
Maximum1888.7
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:08.982969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1050.8
5-th percentile1118.495
Q11223.725
median1290.2
Q31408.675
95-th percentile1720.255
Maximum1888.7
Range837.8999
Interquartile range (IQR)184.94998

Descriptive statistics

Standard deviation179.86278
Coefficient of variation (CV)0.13389211
Kurtosis0.042449854
Mean1343.3411
Median Absolute Deviation (MAD)79.149963
Skewness0.98210569
Sum3242825.5
Variance32350.618
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2885938074
2026-02-06T03:49:09.117451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:09.479180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:10.451453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1273.6999516
 
0.2%
1313.6999515
 
0.2%
1324.6999514
 
0.2%
1293.3000494
 
0.2%
1316.1999514
 
0.2%
1254.3000494
 
0.2%
1386.8000494
 
0.2%
1290.1999514
 
0.2%
1294.6999514
 
0.2%
1271.9000244
 
0.2%
Other values (1848)2371
98.2%
ValueCountFrequency (%)
1050.8000491
< 0.1%
1052.1999511
< 0.1%
1054.1999511
< 0.1%
1056.1999511
< 0.1%
1060.0999761
< 0.1%
1060.3000491
< 0.1%
1061.6999511
< 0.1%
1062.4000241
< 0.1%
1062.9000241
< 0.1%
1063.8000491
< 0.1%
ValueCountFrequency (%)
1888.6999511
< 0.1%
1873.6999511
< 0.1%
1869.9000241
< 0.1%
1858.3000491
< 0.1%
1856.4000241
< 0.1%
1854.4000241
< 0.1%
1848.9000241
< 0.1%
1828.51
< 0.1%
1826.8000491
< 0.1%
1826.6999511
< 0.1%
2026-02-06T03:49:09.244497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

repaired?
Boolean

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
False
2414 
ValueCountFrequency (%)
False2414
100.0%
2026-02-06T03:49:11.101482image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

MA
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct2387
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1342.5695
Minimum1066.77
Maximum1838.65
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:11.208868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1066.77
5-th percentile1117.591
Q11223.8775
median1291.52
Q31399.6875
95-th percentile1719.7605
Maximum1838.65
Range771.87999
Interquartile range (IQR)175.80999

Descriptive statistics

Standard deviation179.0966
Coefficient of variation (CV)0.13339838
Kurtosis0.01241222
Mean1342.5695
Median Absolute Deviation (MAD)79.355017
Skewness0.98423321
Sum3240962.8
Variance32075.591
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4671997006
2026-02-06T03:49:11.356626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:12.033195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:13.013717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1067.4200072
 
0.1%
1070.9200072
 
0.1%
1279.0000122
 
0.1%
1255.960012
 
0.1%
1607.839992
 
0.1%
1285.62
 
0.1%
1138.220022
 
0.1%
1236.8599982
 
0.1%
1398.3499882
 
0.1%
1304.5099852
 
0.1%
Other values (2377)2394
99.2%
ValueCountFrequency (%)
1066.7700071
< 0.1%
1067.4200072
0.1%
1067.4800171
< 0.1%
1068.3700071
< 0.1%
1068.71
< 0.1%
1068.8700071
< 0.1%
1068.9300171
< 0.1%
1068.9599981
< 0.1%
1069.6400021
< 0.1%
1069.8700071
< 0.1%
ValueCountFrequency (%)
1838.651
< 0.1%
1838.3300051
< 0.1%
1834.8099981
< 0.1%
1833.3300051
< 0.1%
1833.2299931
< 0.1%
1831.9400021
< 0.1%
1823.5699951
< 0.1%
1822.210011
< 0.1%
1819.8299931
< 0.1%
1817.951
< 0.1%
2026-02-06T03:49:11.489407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

EMA
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1342.5858
Minimum1066.7509
Maximum1835.3699
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:13.748402image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1066.7509
5-th percentile1117.8258
Q11223.6766
median1291.8678
Q31398.122
95-th percentile1719.0275
Maximum1835.3699
Range768.61902
Interquartile range (IQR)174.44543

Descriptive statistics

Standard deviation178.67792
Coefficient of variation (CV)0.13308492
Kurtosis-0.0091080904
Mean1342.5858
Median Absolute Deviation (MAD)78.32038
Skewness0.98311115
Sum3241002.1
Variance31925.798
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3173831796
2026-02-06T03:49:13.895316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:14.266979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:15.264406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1111.4576791
 
< 0.1%
1106.5381061
 
< 0.1%
1102.3675371
 
< 0.1%
1098.8461661
 
< 0.1%
1099.8377811
 
< 0.1%
1103.0309161
 
< 0.1%
1104.5525721
 
< 0.1%
1096.8884731
 
< 0.1%
1088.7632871
 
< 0.1%
1084.5699531
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
1066.7508561
< 0.1%
1067.6741931
< 0.1%
1067.873281
< 0.1%
1068.0018031
< 0.1%
1068.5987131
< 0.1%
1069.7807611
< 0.1%
1069.9779731
< 0.1%
1070.2607081
< 0.1%
1070.4428611
< 0.1%
1070.4520621
< 0.1%
ValueCountFrequency (%)
1835.3698731
< 0.1%
1830.7389911
< 0.1%
1830.6965061
< 0.1%
1830.022821
< 0.1%
1828.8368531
< 0.1%
1827.9244151
< 0.1%
1825.4290581
< 0.1%
1819.6846981
< 0.1%
1818.5965011
< 0.1%
1818.3056571
< 0.1%
2026-02-06T03:49:14.024618image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

KAMA
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1343.4416
Minimum1071.6528
Maximum1818.3011
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:15.986583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1071.6528
5-th percentile1112.164
Q11221.5546
median1292.8273
Q31403.2419
95-th percentile1720.6644
Maximum1818.3011
Range746.64826
Interquartile range (IQR)181.68734

Descriptive statistics

Standard deviation180.43108
Coefficient of variation (CV)0.13430512
Kurtosis-0.036809199
Mean1343.4416
Median Absolute Deviation (MAD)78.7884
Skewness0.97440536
Sum3243067.9
Variance32555.374
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.316034062
2026-02-06T03:49:16.132975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:16.816006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:17.799757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1120.6544041
 
< 0.1%
1117.1369871
 
< 0.1%
1112.3747011
 
< 0.1%
1106.7503071
 
< 0.1%
1106.6396911
 
< 0.1%
1107.021121
 
< 0.1%
1107.0430321
 
< 0.1%
1104.1093721
 
< 0.1%
1100.9844341
 
< 0.1%
1099.5670371
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
1071.6528171
< 0.1%
1071.760361
< 0.1%
1071.8025671
< 0.1%
1071.8050121
< 0.1%
1071.8241381
< 0.1%
1071.9016291
< 0.1%
1071.9141461
< 0.1%
1071.9374321
< 0.1%
1071.9474141
< 0.1%
1071.9555721
< 0.1%
ValueCountFrequency (%)
1818.3010761
< 0.1%
1818.2730241
< 0.1%
1818.1513271
< 0.1%
1818.0629781
< 0.1%
1817.0296151
< 0.1%
1816.9870541
< 0.1%
1813.9894551
< 0.1%
1813.9309281
< 0.1%
1813.7287541
< 0.1%
1813.6691611
< 0.1%
2026-02-06T03:49:16.262136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

WMA
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1342.8186
Minimum1063.5255
Maximum1843.5218
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:18.522533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1063.5255
5-th percentile1116.3821
Q11224.2514
median1291.2473
Q31402.7182
95-th percentile1718.746
Maximum1843.5218
Range779.99636
Interquartile range (IQR)178.4668

Descriptive statistics

Standard deviation179.21115
Coefficient of variation (CV)0.13345894
Kurtosis0.014748411
Mean1342.8186
Median Absolute Deviation (MAD)78.943627
Skewness0.98272134
Sum3241564.1
Variance32116.636
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2974570156
2026-02-06T03:49:18.669492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:19.038141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:20.026633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1108.9181641
 
< 0.1%
1102.8999891
 
< 0.1%
1097.5454411
 
< 0.1%
1093.0418081
 
< 0.1%
1093.4945471
 
< 0.1%
1096.7981891
 
< 0.1%
1099.4163751
 
< 0.1%
1093.1418351
 
< 0.1%
1085.7454611
 
< 0.1%
1081.4763611
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
1063.5254531
< 0.1%
1064.5763741
< 0.1%
1066.7490881
< 0.1%
1067.2545681
< 0.1%
1067.4618161
< 0.1%
1068.3818181
< 0.1%
1068.538191
< 0.1%
1068.5491061
< 0.1%
1069.0127331
< 0.1%
1069.5727291
< 0.1%
ValueCountFrequency (%)
1843.5218151
< 0.1%
1839.2800031
< 0.1%
1837.8236481
< 0.1%
1837.5527191
< 0.1%
1835.0691031
< 0.1%
1830.8054491
< 0.1%
1830.1236221
< 0.1%
1824.190921
< 0.1%
1823.3727321
< 0.1%
1821.7018071
< 0.1%
2026-02-06T03:49:18.795592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

MidPrice
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct1404
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1342.1063
Minimum1064.55
Maximum1852.2
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:21.057087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1064.55
5-th percentile1119.3975
Q11223.15
median1292.05
Q31400.9
95-th percentile1715.7075
Maximum1852.2
Range787.65002
Interquartile range (IQR)177.75

Descriptive statistics

Standard deviation178.09175
Coefficient of variation (CV)0.13269571
Kurtosis0.017888901
Mean1342.1063
Median Absolute Deviation (MAD)79.499939
Skewness0.98121154
Sum3239844.7
Variance31716.673
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2786538174
2026-02-06T03:49:21.203810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:21.577323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:22.561530image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1308.20001210
 
0.4%
1239.95001210
 
0.4%
1067.59
 
0.4%
1322.7999888
 
0.3%
13268
 
0.3%
1659.758
 
0.3%
1225.2999888
 
0.3%
1252.2999887
 
0.3%
1408.4000247
 
0.3%
1342.2000127
 
0.3%
Other values (1394)2332
96.6%
ValueCountFrequency (%)
1064.5499881
 
< 0.1%
1066.2000122
 
0.1%
1066.251
 
< 0.1%
10671
 
< 0.1%
1067.59
0.4%
1068.252
 
0.1%
1068.51
 
< 0.1%
1069.6500241
 
< 0.1%
1071.752
 
0.1%
1074.6500244
0.2%
ValueCountFrequency (%)
1852.2000121
 
< 0.1%
1847.3499762
 
0.1%
1843.7000121
 
< 0.1%
1840.0499883
0.1%
1824.9000242
 
0.1%
1816.5500492
 
0.1%
1809.4500123
0.1%
1808.3000497
0.3%
1807.5499881
 
< 0.1%
1806.1000371
 
< 0.1%
2026-02-06T03:49:21.336927image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

BOP
Real number (ℝ)

Zeros 

Distinct1978
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0027952341
Minimum-2.7037707
Maximum2.7627087
Zeros258
Zeros (%)10.7%
Negative1081
Negative (%)44.8%
Memory size37.7 KiB
2026-02-06T03:49:23.249912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.7037707
5-th percentile-0.95030478
Q1-0.52546209
median0
Q30.51035496
95-th percentile0.93798914
Maximum2.7627087
Range5.4664794
Interquartile range (IQR)1.035817

Descriptive statistics

Standard deviation0.60135041
Coefficient of variation (CV)-215.13418
Kurtosis-0.63662888
Mean-0.0027952341
Median Absolute Deviation (MAD)0.52106125
Skewness0.041088235
Sum-6.7476952
Variance0.36162232
MonotonicityNot monotonic
2026-02-06T03:49:23.365577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0258
 
10.7%
-179
 
3.3%
174
 
3.1%
-0.54
 
0.2%
-0.66666666673
 
0.1%
0.24999788072
 
0.1%
0.52380952382
 
0.1%
0.52
 
0.1%
-0.20688639142
 
0.1%
0.78947481142
 
0.1%
Other values (1968)1986
82.3%
ValueCountFrequency (%)
-2.7037706851
 
< 0.1%
-1.7407541371
 
< 0.1%
-1.2394788511
 
< 0.1%
-1.1430066271
 
< 0.1%
-1.0520828041
 
< 0.1%
-179
3.3%
-0.99742016671
 
< 0.1%
-0.9953282491
 
< 0.1%
-0.99459591431
 
< 0.1%
-0.99390393681
 
< 0.1%
ValueCountFrequency (%)
2.7627087081
 
< 0.1%
2.7500127161
 
< 0.1%
1.6327673491
 
< 0.1%
1.2631384521
 
< 0.1%
1.0583979331
 
< 0.1%
1.0430137171
 
< 0.1%
174
3.1%
0.99651652421
 
< 0.1%
0.99617948941
 
< 0.1%
0.99615478521
 
< 0.1%

CMO
Numeric time series

High correlation 

Distinct2411
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6561724
Minimum-73.147026
Maximum80.217411
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:23.517286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-73.147026
5-th percentile-48.085418
Q1-17.891338
median2.1265403
Q323.819656
95-th percentile52.719569
Maximum80.217411
Range153.36444
Interquartile range (IQR)41.710995

Descriptive statistics

Standard deviation29.984682
Coefficient of variation (CV)11.288681
Kurtosis-0.51057636
Mean2.6561724
Median Absolute Deviation (MAD)20.794414
Skewness-0.001597441
Sum6412.0002
Variance899.08115
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value7.150616837 × 10-18
2026-02-06T03:49:23.664896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:24.029384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:25.384323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-21.500955532
 
0.1%
32.565613512
 
0.1%
-32.947674962
 
0.1%
33.03742311
 
< 0.1%
35.723019831
 
< 0.1%
44.261049951
 
< 0.1%
45.144237331
 
< 0.1%
45.304793231
 
< 0.1%
53.148635761
 
< 0.1%
45.06925831
 
< 0.1%
Other values (2401)2401
99.5%
ValueCountFrequency (%)
-73.147025691
< 0.1%
-70.795306891
< 0.1%
-69.818961521
< 0.1%
-68.806409991
< 0.1%
-68.743650261
< 0.1%
-67.080172481
< 0.1%
-66.992859581
< 0.1%
-66.493095991
< 0.1%
-66.282531711
< 0.1%
-66.141021531
< 0.1%
ValueCountFrequency (%)
80.217411441
< 0.1%
78.551546841
< 0.1%
77.79128721
< 0.1%
76.202726991
< 0.1%
76.150757461
< 0.1%
76.046773221
< 0.1%
73.383234271
< 0.1%
72.447394091
< 0.1%
72.226940911
< 0.1%
71.123796931
< 0.1%
2026-02-06T03:49:23.788343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

MFI
Numeric time series

Distinct2413
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.112178
Minimum-1.0555854 × 10-13
Maximum100
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:26.108950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1.0555854 × 10-13
5-th percentile1.5377801
Q123.880937
median44.834764
Q370.346482
95-th percentile98.726091
Maximum100
Range100
Interquartile range (IQR)46.465545

Descriptive statistics

Standard deviation29.716647
Coefficient of variation (CV)0.63076359
Kurtosis-1.0292688
Mean47.112178
Median Absolute Deviation (MAD)22.87805
Skewness0.14735742
Sum113728.8
Variance883.07909
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value1.159957218 × 10-13
2026-02-06T03:49:26.254156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:26.620099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:27.620579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
31.635827042
 
0.1%
74.170952471
 
< 0.1%
74.226471741
 
< 0.1%
74.260537061
 
< 0.1%
74.307546011
 
< 0.1%
74.366452331
 
< 0.1%
74.3834251
 
< 0.1%
10.1309291
 
< 0.1%
74.127355681
 
< 0.1%
78.609199271
 
< 0.1%
Other values (2403)2403
99.5%
ValueCountFrequency (%)
-1.055585375 × 10-131
< 0.1%
-8.486371619 × 10-141
< 0.1%
0.019787391561
< 0.1%
0.020094224411
< 0.1%
0.021970898191
< 0.1%
0.022009341871
< 0.1%
0.02239488311
< 0.1%
0.022489537691
< 0.1%
0.024150298511
< 0.1%
0.035429027161
< 0.1%
ValueCountFrequency (%)
1001
< 0.1%
1001
< 0.1%
1001
< 0.1%
99.989248641
< 0.1%
99.989209621
< 0.1%
99.988913511
< 0.1%
99.988757661
< 0.1%
99.988674521
< 0.1%
99.988443351
< 0.1%
99.98803351
< 0.1%
2026-02-06T03:49:26.382201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ROC
Numeric time series

High correlation 

Distinct2412
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17287232
Minimum-14.962502
Maximum12.136097
Zeros2
Zeros (%)0.1%
Memory size37.7 KiB
2026-02-06T03:49:28.343432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-14.962502
5-th percentile-4.8680363
Q1-1.638316
median0.24813965
Q32.1162971
95-th percentile5.0245879
Maximum12.136097
Range27.098599
Interquartile range (IQR)3.7546131

Descriptive statistics

Standard deviation3.0800314
Coefficient of variation (CV)17.816799
Kurtosis1.2705877
Mean0.17287232
Median Absolute Deviation (MAD)1.8738081
Skewness-0.28929486
Sum417.31379
Variance9.4865937
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value4.056855271 × 10-16
2026-02-06T03:49:28.482152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:28.839725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:30.186777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
02
 
0.1%
0.022796599242
 
0.1%
3.8169146851
 
< 0.1%
4.3684984751
 
< 0.1%
5.8164419791
 
< 0.1%
5.8281135921
 
< 0.1%
6.0978647521
 
< 0.1%
7.1334041391
 
< 0.1%
4.225467741
 
< 0.1%
2.5144457481
 
< 0.1%
Other values (2402)2402
99.5%
ValueCountFrequency (%)
-14.962501531
< 0.1%
-12.06445661
< 0.1%
-12.011714541
< 0.1%
-11.954792061
< 0.1%
-11.791640891
< 0.1%
-11.785482181
< 0.1%
-11.653978131
< 0.1%
-11.432015541
< 0.1%
-11.362761241
< 0.1%
-11.196569231
< 0.1%
ValueCountFrequency (%)
12.136097141
< 0.1%
11.859093921
< 0.1%
10.990679731
< 0.1%
10.437376041
< 0.1%
10.297216651
< 0.1%
9.8236975031
< 0.1%
9.4484722661
< 0.1%
8.5571592611
< 0.1%
8.4311303271
< 0.1%
8.4044837321
< 0.1%
2026-02-06T03:49:28.605091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

WILLR
Numeric time series

High correlation  Zeros 

Distinct2323
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-47.576895
Minimum-100
Maximum8.8327657
Zeros43
Zeros (%)1.8%
Memory size37.7 KiB
2026-02-06T03:49:30.919865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile-96.030853
Q1-77.263954
median-46.093743
Q3-16.468541
95-th percentile-2.3735858
Maximum8.8327657
Range108.83277
Interquartile range (IQR)60.795412

Descriptive statistics

Standard deviation32.079546
Coefficient of variation (CV)-0.67426733
Kurtosis-1.384456
Mean-47.576895
Median Absolute Deviation (MAD)30.348939
Skewness-0.077470098
Sum-114850.62
Variance1029.0973
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value5.085269652 × 10-24
2026-02-06T03:49:31.063081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:31.424558image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:32.415484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-043
 
1.8%
-10040
 
1.7%
-1002
 
0.1%
-23.088163492
 
0.1%
-85.955094712
 
0.1%
-75.510204082
 
0.1%
-79.054898872
 
0.1%
-14.615572422
 
0.1%
-84.375007012
 
0.1%
-12.184726332
 
0.1%
Other values (2313)2315
95.9%
ValueCountFrequency (%)
-1002
 
0.1%
-10040
1.7%
-1001
 
< 0.1%
-99.850559721
 
< 0.1%
-99.839008661
 
< 0.1%
-99.835566271
 
< 0.1%
-99.591214271
 
< 0.1%
-99.572916671
 
< 0.1%
-99.56412951
 
< 0.1%
-99.542096551
 
< 0.1%
ValueCountFrequency (%)
8.8327656621
 
< 0.1%
1.8109160931
 
< 0.1%
-043
1.8%
-0.11296676381
 
< 0.1%
-0.16662597661
 
< 0.1%
-0.17508866671
 
< 0.1%
-0.17981228391
 
< 0.1%
-0.22697830971
 
< 0.1%
-0.23089023831
 
< 0.1%
-0.31418725461
 
< 0.1%
2026-02-06T03:49:31.187389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

AD
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct2260
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-454871.08
Minimum-1234611.5
Maximum602582.62
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:33.151246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1234611.5
5-th percentile-1060784.8
Q1-809219.4
median-410790.9
Q3-43031.22
95-th percentile130210.51
Maximum602582.62
Range1837194.1
Interquartile range (IQR)766188.18

Descriptive statistics

Standard deviation419344.7
Coefficient of variation (CV)-0.92189791
Kurtosis-0.83724174
Mean-454871.08
Median Absolute Deviation (MAD)386357.72
Skewness0.041493022
Sum-1.0980588 × 109
Variance1.7584998 × 1011
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4851182654
2026-02-06T03:49:33.302333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:33.668039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:34.980979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-283378.10188
 
0.3%
-435654.2856
 
0.2%
-406646.41755
 
0.2%
-413454.47184
 
0.2%
-502.36464784
 
0.2%
-3775.0758834
 
0.2%
-669727.774
 
0.2%
-234456.14483
 
0.1%
-484.28853993
 
0.1%
47227.266563
 
0.1%
Other values (2250)2370
98.2%
ValueCountFrequency (%)
-1234611.5291
< 0.1%
-1231919.1761
< 0.1%
-1230671.8131
< 0.1%
-1230380.1541
< 0.1%
-1230376.421
< 0.1%
-1230128.8721
< 0.1%
-1230115.9971
< 0.1%
-1229927.0861
< 0.1%
-1229614.8421
< 0.1%
-1229505.4321
< 0.1%
ValueCountFrequency (%)
602582.61861
< 0.1%
602414.22261
< 0.1%
602361.17191
< 0.1%
602341.17441
< 0.1%
602314.64121
< 0.1%
602214.54711
< 0.1%
601905.25811
< 0.1%
601888.07121
< 0.1%
601859.59811
< 0.1%
601784.59811
< 0.1%
2026-02-06T03:49:33.427418image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

OBV
Numeric time series

High correlation  Non stationary  Seasonal 

Distinct2320
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-896381.37
Minimum-2560065
Maximum249125
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:35.705713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2560065
5-th percentile-2282002
Q1-1567058
median-600266
Q3-178873.5
95-th percentile213847.3
Maximum249125
Range2809190
Interquartile range (IQR)1388184.5

Descriptive statistics

Standard deviation814228.16
Coefficient of variation (CV)-0.90835016
Kurtosis-1.1924744
Mean-896381.37
Median Absolute Deviation (MAD)604454
Skewness-0.37603725
Sum-2.1638646 × 109
Variance6.629675 × 1011
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.761306372
2026-02-06T03:49:35.845776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:36.210716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:37.196480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-25371696
 
0.2%
-22822324
 
0.2%
-19888553
 
0.1%
-22218823
 
0.1%
-25587483
 
0.1%
-25587433
 
0.1%
-2292753
 
0.1%
-18788533
 
0.1%
-4442602
 
0.1%
-10871582
 
0.1%
Other values (2310)2382
98.7%
ValueCountFrequency (%)
-25600651
< 0.1%
-25600561
< 0.1%
-25599521
< 0.1%
-25598491
< 0.1%
-25598151
< 0.1%
-25597281
< 0.1%
-25595481
< 0.1%
-25593531
< 0.1%
-25592771
< 0.1%
-25589781
< 0.1%
ValueCountFrequency (%)
2491251
< 0.1%
2490911
< 0.1%
2490481
< 0.1%
2490451
< 0.1%
2490192
0.1%
2490011
< 0.1%
2489821
< 0.1%
2489641
< 0.1%
2489551
< 0.1%
2489091
< 0.1%
2026-02-06T03:49:35.973170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

NATR
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1825993
Minimum0.50183061
Maximum3.3283981
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:37.919403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.50183061
5-th percentile0.66087271
Q10.87835597
median1.1236305
Q31.3810726
95-th percentile1.9323593
Maximum3.3283981
Range2.8265675
Interquartile range (IQR)0.50271662

Descriptive statistics

Standard deviation0.41652526
Coefficient of variation (CV)0.35221164
Kurtosis2.4796704
Mean1.1825993
Median Absolute Deviation (MAD)0.25054787
Skewness1.2750724
Sum2854.7948
Variance0.17349329
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0006930821523
2026-02-06T03:49:38.057890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:38.424949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:39.744859image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.4614175091
 
< 0.1%
1.462848031
 
< 0.1%
1.5076769381
 
< 0.1%
1.508267241
 
< 0.1%
1.5708007271
 
< 0.1%
1.5584816481
 
< 0.1%
1.559732961
 
< 0.1%
1.867425241
 
< 0.1%
1.9090198941
 
< 0.1%
1.8922992891
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
0.50183061131
< 0.1%
0.51547229271
< 0.1%
0.51746194231
< 0.1%
0.52288357981
< 0.1%
0.54037974721
< 0.1%
0.54354629561
< 0.1%
0.54356907361
< 0.1%
0.55413798041
< 0.1%
0.55581830371
< 0.1%
0.55736882651
< 0.1%
ValueCountFrequency (%)
3.3283981371
< 0.1%
3.2973362941
< 0.1%
3.1426837341
< 0.1%
3.1294392441
< 0.1%
3.1231140871
< 0.1%
3.0498946961
< 0.1%
3.02350741
< 0.1%
3.018984571
< 0.1%
2.9214454571
< 0.1%
2.8860986061
< 0.1%
2026-02-06T03:49:38.185803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ATR
Numeric time series

High correlation  Non stationary  Seasonal  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.068912
Minimum6.4264427
Maximum54.425832
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:40.453026image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6.4264427
5-th percentile8.3692095
Q111.332597
median14.844702
Q318.432841
95-th percentile29.42798
Maximum54.425832
Range47.999389
Interquartile range (IQR)7.1002444

Descriptive statistics

Standard deviation6.933995
Coefficient of variation (CV)0.43151616
Kurtosis5.2819166
Mean16.068912
Median Absolute Deviation (MAD)3.5405554
Skewness1.8977444
Sum38790.353
Variance48.080287
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.004098987855
2026-02-06T03:49:40.586205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:40.941776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:41.914559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
16.044903191
 
< 0.1%
15.863124391
 
< 0.1%
16.337186931
 
< 0.1%
16.334534211
 
< 0.1%
17.34635321
 
< 0.1%
17.414474311
 
< 0.1%
17.334872491
 
< 0.1%
19.83952621
 
< 0.1%
20.086706391
 
< 0.1%
20.166232591
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
6.4264426861
< 0.1%
6.6054016931
< 0.1%
6.6135095161
< 0.1%
6.6594451441
< 0.1%
6.7345073861
< 0.1%
6.7910079541
< 0.1%
6.9476621451
< 0.1%
6.9837757231
< 0.1%
6.9959842381
< 0.1%
7.0441624121
< 0.1%
ValueCountFrequency (%)
54.425832061
< 0.1%
53.004740341
< 0.1%
50.744912721
< 0.1%
50.581128021
< 0.1%
50.453908081
< 0.1%
50.027424181
< 0.1%
49.435872331
< 0.1%
48.992914651
< 0.1%
48.379136771
< 0.1%
48.122912441
< 0.1%
2026-02-06T03:49:40.707386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

TRANGE
Real number (ℝ)

High correlation 

Distinct648
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.074689
Minimum0.099975586
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:42.612143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.099975586
5-th percentile3.7000305
Q18.3000488
median13.099976
Q320.274963
95-th percentile38.134967
Maximum163
Range162.90002
Interquartile range (IQR)11.974915

Descriptive statistics

Standard deviation12.475543
Coefficient of variation (CV)0.77609853
Kurtosis18.033985
Mean16.074689
Median Absolute Deviation (MAD)5.5
Skewness3.0338817
Sum38804.3
Variance155.63917
MonotonicityNot monotonic
2026-02-06T03:49:42.730280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.518
 
0.7%
817
 
0.7%
917
 
0.7%
11.3000488316
 
0.7%
14.4000244116
 
0.7%
1016
 
0.7%
515
 
0.6%
1415
 
0.6%
7.09997558615
 
0.6%
11.515
 
0.6%
Other values (638)2254
93.4%
ValueCountFrequency (%)
0.099975585943
0.1%
0.19995117193
0.1%
0.30004882812
 
0.1%
0.39990234382
 
0.1%
0.59997558595
0.2%
0.69995117192
 
0.1%
0.80004882812
 
0.1%
0.89990234381
 
< 0.1%
0.90002441411
 
< 0.1%
13
0.1%
ValueCountFrequency (%)
1631
< 0.1%
121.40002441
< 0.1%
105.20007321
< 0.1%
102.89990231
< 0.1%
101.90002441
< 0.1%
99.400024411
< 0.1%
98.199951171
< 0.1%
94.099975591
< 0.1%
84.700073241
< 0.1%
84.51
< 0.1%

TSF
Numeric time series

High correlation  Non stationary  Unique 

Distinct2414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1343.4593
Minimum1056.7846
Maximum1888.4583
Zeros0
Zeros (%)0.0%
Memory size37.7 KiB
2026-02-06T03:49:42.873226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1056.7846
5-th percentile1119.8159
Q11220.9319
median1291.7055
Q31409.7717
95-th percentile1720.4129
Maximum1888.4583
Range831.67364
Interquartile range (IQR)188.83979

Descriptive statistics

Standard deviation181.1643
Coefficient of variation (CV)0.13484912
Kurtosis0.08621886
Mean1343.4593
Median Absolute Deviation (MAD)82.684079
Skewness0.97962418
Sum3243110.7
Variance32820.503
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4063867134
2026-02-06T03:49:43.003685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2026-02-06T03:49:43.361231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps500
min3 days
max5 days
mean3 days, 3 hours and 12 minutes
std8 hours, 19 minutes and 25.61 seconds
2026-02-06T03:49:44.662158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1094.5450331
 
< 0.1%
1085.4252721
 
< 0.1%
1077.282411
 
< 0.1%
1071.4966951
 
< 0.1%
1075.8142881
 
< 0.1%
1081.5714451
 
< 0.1%
1087.3121181
 
< 0.1%
1080.9670681
 
< 0.1%
1072.1538641
 
< 0.1%
1071.4538431
 
< 0.1%
Other values (2404)2404
99.6%
ValueCountFrequency (%)
1056.7846091
< 0.1%
1057.5472571
< 0.1%
1057.9263811
< 0.1%
1057.9384581
< 0.1%
1058.3054961
< 0.1%
1058.9494371
< 0.1%
1060.772561
< 0.1%
1061.1384591
< 0.1%
1061.1824091
< 0.1%
1061.4439861
< 0.1%
ValueCountFrequency (%)
1888.4582521
< 0.1%
1875.1977941
< 0.1%
1864.2560381
< 0.1%
1863.530791
< 0.1%
1855.9879111
< 0.1%
1852.8483671
< 0.1%
1850.5263731
< 0.1%
1848.8956081
< 0.1%
1839.4857081
< 0.1%
1838.5296561
< 0.1%
2026-02-06T03:49:43.126993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

Interactions

2026-02-06T03:49:05.903964image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:41.709247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.048120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.553374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.384736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:47.876238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:49.380572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.891616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.284062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.095469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.494480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.894278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.301689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:59.840345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.585724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.006886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.374240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:05.974351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:41.778871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.130479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.634510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.464577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:47.957934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:49.462674image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.967072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.366356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.169922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.569168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.971286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.385957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:59.916897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.661456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.080552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.457552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.057328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:41.860713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.218948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.722322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.553917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.049185image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:49.552094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.052912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.459620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.255653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.655704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.056066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.480671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:00.005665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.749901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.165647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.551643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.141486image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:41.940778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.309899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.812249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.642419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.139710image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:49.643420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.139279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.552696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.346344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.740886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.143398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.574204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:00.096415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.840138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.247893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.644758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.221606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.024170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.399925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.900397image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.731584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.229083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:49.733883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.223693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.648453image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.432819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.826257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.228621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.669332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:00.188408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.928738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.333432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.739105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.306711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.105134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.490529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.989821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.820456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.322105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:49.826091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.312387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.742817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.516774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.913014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.316880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.762613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:00.277178image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.014984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.417508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.834290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.386994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.188848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.580444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:45.081107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.910919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.411929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:49.915563image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.405071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.836285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.603919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.998514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.405150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.859135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:00.367955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.103355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.502522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.927148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.460306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.265265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.666172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:45.167357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.995282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.497507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.002041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.482864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.923259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.681539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.080271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.483000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.945191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:00.448462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.182463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.579123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:05.014362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.544089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.349767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.758683image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:45.260375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:47.089870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.590469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.097821image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.567905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:53.311490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.767539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.166052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.569933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:59.041805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:00.538620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.274158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.662173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:05.107820image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.619321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.426733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.844936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:45.346783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:47.174361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.676661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.185467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.646668image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:53.397749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.843412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.246138image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.649247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:59.129433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:00.921918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.353670image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.738960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:05.194455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.697662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.501855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:43.930049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:45.743215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:47.260358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.764035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.271934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.723757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:53.482073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.923277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.325994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.729756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:59.218017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.003144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.435161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.814722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:05.283460image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.772534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.580839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.018773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:45.837628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:47.346255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.849155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.361631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.802097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:53.567439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.002097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.406952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.808192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:59.307194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.084685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.514928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.891653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:05.370103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:06.855271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.664899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.115767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:45.938272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:47.440954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:48.943749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.455987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:51.890310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:53.660102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.090782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.496244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:57.897076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:59.401249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.176272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.604189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:03.979249image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-02-06T03:49:06.933296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.744434image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.211283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.036276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:47.528451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-02-06T03:48:51.969232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-02-06T03:49:01.256519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.686877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.060422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:05.556102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:07.008480image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.820984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.298299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.125290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:47.618411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:49.121644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.633404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.048514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:53.834918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.252415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.657837image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.059014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:59.579228image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.339705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.764493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.141549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:05.644817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:07.081970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.893254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.380214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2026-02-06T03:48:47.701217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:49.204075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.717720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.123410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:53.919410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.333037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.733119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.137733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:59.662654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.418328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.842614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.214412image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:05.728369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:07.164468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:42.978306image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:44.473986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:46.301586image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:47.795767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:49.301089image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:50.811471image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:52.210277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:54.011148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:55.418204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:56.820174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:58.224780image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:48:59.756162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:01.507102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:02.929401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:04.302542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2026-02-06T03:49:05.821984image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2026-02-06T03:49:45.347917image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ADATRBOPCMOEMAKAMAMAMFIMidPriceNATROBVROCTRANGETSFWILLRWMAclose
AD1.0000.3090.0520.1640.5770.5780.5740.1610.5710.1090.5360.0970.1780.5760.1440.5770.581
ATR0.3091.0000.0200.0070.4440.4470.4450.0950.4420.9250.5690.0040.5760.4360.0090.4430.437
BOP0.0520.0201.0000.3280.0260.0240.0190.0650.021-0.0040.0470.2570.0250.0380.3870.0270.081
CMO0.1640.0070.3281.0000.0930.0810.0770.3760.074-0.0630.0600.8670.0410.1940.9120.1160.206
EMA0.5770.4440.0260.0931.0000.9980.9990.0920.9980.1150.3380.0460.2510.9880.0500.9990.989
KAMA0.5780.4470.0240.0810.9981.0000.9970.0860.9960.1190.3460.0360.2510.9860.0370.9970.986
MA0.5740.4450.0190.0770.9990.9971.0000.0910.9990.1170.3370.0280.2510.9860.0300.9980.985
MFI0.1610.0950.0650.3760.0920.0860.0911.0000.0870.0530.1500.3010.0580.1460.3230.1060.133
MidPrice0.5710.4420.0210.0740.9980.9960.9990.0871.0000.1150.3320.0200.2490.9830.0230.9970.984
NATR0.1090.925-0.004-0.0630.1150.1190.1170.0530.1151.0000.482-0.0450.5450.107-0.0520.1140.105
OBV0.5360.5690.0470.0600.3380.3460.3370.1500.3320.4821.0000.0330.2940.3330.0760.3370.337
ROC0.0970.0040.2570.8670.0460.0360.0280.3010.020-0.0450.0331.0000.0380.1570.8700.0710.153
TRANGE0.1780.5760.0250.0410.2510.2510.2510.0580.2490.5450.2940.0381.0000.2510.0230.2510.250
TSF0.5760.4360.0380.1940.9880.9860.9860.1460.9830.1070.3330.1570.2511.0000.1440.9930.992
WILLR0.1440.0090.3870.9120.0500.0370.0300.3230.023-0.0520.0760.8700.0230.1441.0000.0700.165
WMA0.5770.4430.0270.1160.9990.9970.9980.1060.9970.1140.3370.0710.2510.9930.0701.0000.991
close0.5810.4370.0810.2060.9890.9860.9850.1330.9840.1050.3370.1530.2500.9920.1650.9911.000

Missing values

2026-02-06T03:49:07.294338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2026-02-06T03:49:07.431112image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Datecloserepaired?MAEMAKAMAWMAMidPriceBOPCMOMFIROCWILLRADOBVNATRATRTRANGETSF
2010-01-262010-01-261097.900024False1117.4999881111.4576791120.6544041108.9181641120.0999760.000000-14.69978364.341830-4.588505-80.946248502.508257662.01.46141816.0449032.7000731094.545033
2010-01-272010-01-271084.400024False1113.0499881106.5381061117.1369871102.8999891114.4500120.000000-25.7475340.175818-3.941890-98.209686502.508257-206032.01.46284815.86312413.5000001085.425272
2010-01-282010-01-281083.599976False1107.7699831102.3675371112.3747011097.5454411109.549988-0.186670-26.3754280.118218-4.646256-88.181790-7141.076639-307200.01.50767716.33718722.5000001077.282410
2010-01-292010-01-291083.000000False1101.8099851098.8461661106.7503071093.0418081106.449951-0.122699-26.8905660.096377-5.216172-88.863581-6649.136970-318656.01.50826716.33453416.3000491071.496695
2010-02-012010-02-011104.300049False1099.2299931099.8377811106.6396911093.4945471106.4499510.7639360.5558070.806533-2.282977-62.976074-4679.497626-316204.01.57080117.34635330.5000001075.814288
2010-02-022010-02-021117.400024False1097.0000001103.0309161107.0211201096.7981891103.0999760.00000013.3617791.845782-1.956649-39.202161-1753.334679-312878.01.55848217.41447418.3000491081.571445
2010-02-032010-02-031111.400024False1096.9099981104.5525721107.0430321099.4163751099.049988-0.2699396.3895702.109863-0.080916-47.455248-2313.275232-313731.01.55973317.33487216.3000491087.312118
2010-02-042010-02-041062.400024False1092.8800051096.8884731104.1093721093.1418351091.950012-0.920697-31.7180602.075298-3.654659-95.786832-3551.714714-315157.01.86742519.83952652.4000241080.967068
2010-02-052010-02-051052.199951False1089.1800051088.7632871100.9844341085.7454611085.0499880.000000-36.9422182.063641-3.396989-92.592593-4332.438207-317113.01.90902020.08670623.3000491072.153864
2010-02-082010-02-081065.699951False1086.2300051084.5699531099.5670371081.4763611085.0499880.000000-23.0928142.217049-2.693572-76.651494-4499.933583-316564.01.89229920.16623321.2000731071.453843
Datecloserepaired?MAEMAKAMAWMAMidPriceBOPCMOMFIROCWILLRADOBVNATRATRTRANGETSF
2019-08-192019-08-191500.400024False1502.9900021496.5240761501.0805011507.1054551494.549988-0.46258229.15716443.8954222.444357-23.754789-210128.204740-1737961.01.33840020.08134819.5999761536.559345
2019-08-202019-08-201504.599976False1506.2099981497.9924221501.3220221507.3981781502.2999880.82558132.56561459.3187312.186902-20.536436-209811.740105-1737475.01.28015819.2612508.5999761531.898895
2019-08-212019-08-211504.599976False1505.9399901499.1937951501.3486921507.1054471507.549988-0.04839532.56561476.637869-0.179133-27.043446-209506.904508-1737475.01.21815118.3283006.1999511523.736256
2019-08-222019-08-221497.300049False1505.9000001498.8494781501.3297151505.5345481507.5499880.62859220.16021264.207443-0.026701-37.472501-208820.904508-1738161.01.18817617.79055910.7999271515.071433
2019-08-232019-08-231526.599976False1508.9000001503.8950231503.1316551509.2981801507.5499880.97067443.66910364.2708272.004544-6.512950-207895.558508-1737178.01.24168218.95551734.0999761516.414278
2019-08-262019-08-261526.300049False1511.0000001507.9686641504.2633871512.4618251513.500000-0.88946943.18955763.7504551.395071-24.251036-208159.242719-1737512.01.24213418.95869519.0000001516.998912
2019-08-272019-08-271541.000000False1514.8800051513.9743611507.9635991517.9163711518.1000370.77206051.92771460.3017562.582882-3.859136-208020.095112-1737346.01.21564418.73306815.7999271526.142876
2019-08-282019-08-281537.800049False1517.0700071518.3063051509.4812191522.0836511518.100037-1.00000046.47829870.7823691.444688-9.228173-210776.095112-1740102.01.14602417.6235603.1999511531.573651
2019-08-292019-08-291526.500000False1517.7600101519.7960671509.6906781523.7981961521.100037-0.37036928.40675665.4552130.454068-34.756120-211152.983650-1740806.01.21101718.48616829.7000731532.260458
2019-08-302019-08-301519.099976False1518.4200071519.6695051509.8020031524.0418261521.100037-0.40145817.82920362.7274070.436362-46.036628-211332.282453-1741082.01.19441118.14430413.7000731531.376940